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150710t20152015enka o 001 0 eng d |
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|a 966181134
|a 966472554
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|a 9781783558650
|q (electronic bk.)
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|z 9781782175117
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|a (OCoLC)921507409
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|a QA76.73.P98
|b A583 2015eb
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|a COM
|x 051010
|2 bisacsh
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|a 005.133
|2 23
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|a UAMI
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|a Antao, Tiago,
|e author.
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|a Bioinformatics with Python cookbook :
|b learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology /
|c Tiago Antao.
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264 |
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1 |
|a Birmingham, England ;
|a Mumbai [India] :
|b Packt Publishing,
|c 2015.
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264 |
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|c ©2015
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300 |
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|a 1 online resource (x, 286 pages)
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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490 |
1 |
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|a Community Experience Distilled
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500 |
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|a Includes index.
|
500 |
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|a "Quick answers to common problems"--Cover
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588 |
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|a Online resource; title from PDF title page (ebrary, viewed July 11, 2015).
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|a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Python and the Surrounding Software Ecology; Introduction; Installing the required software with Anaconda; Installing the required software with Docker; Interfacing with R via rpy2; Performing R magic with IPython; Chapter 2: Next-generation Sequencing; Introduction; Accessing GenBank and moving around NCBI databases; Performing basic sequence analysis; Working with modern sequence formats; Working with alignment data; Analyzing data in variant call format
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505 |
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|a Studying genome accessibility and filtering SNP dataChapter 3: Working with Genomes; Introduction; Working with high-quality reference genomes; Dealing with low-quality genome references; Traversing genome annotations; Extracting genes from a reference using annotations; Finding orthologues with the Ensembl REST API; Retrieving gene ontology information from Ensembl; Chapter 4: Population Genetics; Introduction; Managing datasets with PLINK; Introducing the Genepop format; Exploring a dataset with Bio. PopGen; Computing F-statistics; Performing Principal Components Analysis
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505 |
8 |
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|a Investigating population structure with AdmixtureChapter 5: Population Genetics Simulation; Introduction; Introducing forward-time simulations; Simulating selection; Simulating population structure using island and stepping-stone models; Modeling complex demographic scenarios; Simulating the coalescent with Biopython and fastsimcoal; Chapter 6: Phylogenetics; Introduction; Preparing the Ebola dataset; Aligning genetic and genomic data; Comparing sequences; Reconstructing phylogenetic trees; Playing recursively with trees; Visualizing phylogenetic data; Chapter 7: Using the Protein Data Bank
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|a IntroductionFinding a protein in multiple databases; Introducing Bio. PDB; Extracting more information from a PDB file; Computing molecular distances on a PDB file; Performing geometric operations; Implementing a basic PDB parser; Animating with PyMol; Parsing mmCIF files using Biopython; Chapter 8: Other Topics in Bioinformatics; Introduction; Accessing the Global Biodiversity Information Facility; Geo-referencing GBIF datasets; Accessing molecular-interaction databases with PSIQUIC; Plotting protein interactions with Cytoscape the hard way; Chapter 9: Python for Big Genomics Datasets
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|a IntroductionSetting the stage for high-performance computing; Designing a poor human concurrent executor; Performing parallel computing with IPython; Computing the median in a large dataset; Optimizing code with Cython and Numba; Programming with laziness; Thinking with generators; Index
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520 |
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|a If you have intermediate-level knowledge of Python and are well aware of the main research and vocabulary in your bioinformatics topic of interest, this book will help you develop your knowledge further.
|
590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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0 |
|a Python (Computer program language)
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650 |
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|a Bioinformatics.
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650 |
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|a Computational biology.
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650 |
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6 |
|a Python (Langage de programmation)
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650 |
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6 |
|a Bio-informatique.
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650 |
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7 |
|a COMPUTERS
|x Programming Languages
|x General.
|2 bisacsh
|
650 |
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7 |
|a Computational biology.
|2 fast
|0 (OCoLC)fst00871990
|
650 |
|
7 |
|a Bioinformatics.
|2 fast
|0 (OCoLC)fst00832181
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
|
776 |
0 |
8 |
|i Print version:
|a Antao, Tiago.
|t Bioinformatics with Python cookbook : learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology.
|d Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015
|h x, 286 pages
|k Community experience distilled.
|z 9781782175117
|
830 |
|
0 |
|a Community experience distilled.
|
856 |
4 |
0 |
|u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1018253
|z Texto completo
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938 |
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938 |
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|a YBP Library Services
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